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Computer Science > Computers and Society

arXiv:2201.09617 (cs)
[Submitted on 24 Jan 2022]

Title:Leveraging Data and Analytics for Digital Business Transformation through DataOps: An Information Processing Perspective

Authors:Jia Xu, Humza Naseer, Sean Maynard, Justin Fillipou
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Abstract:Digital business transformation has become increasingly important for organizations. Since transforming business digitally is an ongoing process, it requires an integrated and disciplined approach. Data Operations (DataOps), emerging in practice, can provide organizations with such an approach to leverage data and analytics for digital business transformation. This paper proposes a framework that integrates digital business transformation, data analytics, and DataOps through the lens of information processing theory (IPT). The details of this framework explain how organizations can employ DataOps as an integrated and disciplined approach to understand their analytical information needs and develop the analytical information processing capability required for digital business transformation. DataOps-enabled digital business transformation, in turn, improves organizational performance by improving operational efficiency and creating new business models. This research extends current knowledge on digital transformation by bringing in DataOps and analytics through IPT and thereby provide organizations with a novel approach for their digital business transformations.
Comments: Australasian Conference on Information Systems, Sydney, Dec 2021
Subjects: Computers and Society (cs.CY)
Cite as: arXiv:2201.09617 [cs.CY]
  (or arXiv:2201.09617v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2201.09617

Submission history

From: Humza Naseer Dr. [view email]
[v1] Mon, 24 Jan 2022 11:49:57 UTC (266 KB)
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